Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Downloading mnist: 9.92MB [00:02, 4.74MB/s]                            
Extracting mnist: 100%|██████████| 60.0K/60.0K [00:10<00:00, 5.48KFile/s]
Downloading celeba: 1.44GB [03:13, 7.47MB/s]                               
Extracting celeba...

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x7f2d89d12828>
In [34]:
mnist_images.mean()
Out[34]:
106.94918

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x7f2d89c4c6d8>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    input_real = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='input_real')
    input_z = tf.placeholder(tf.float32, (None, z_dim), name='input_z')
    learning_rate = tf.placeholder(tf.float32)
    
    return input_real, input_z, learning_rate


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [7]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    with tf.variable_scope('discriminator', reuse=reuse):
        # layer 1, 14x14x64, batch nomalization alpha=0.2
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
        x1 = tf.maximum(0.2*x1, x1)
        # layer2, 7x7x128
        x2 = tf.layers.conv2d(x1, 128, 5, strides=2, padding='same')
        x2 = tf.layers.batch_normalization(x2, training=True)
        x2 = tf.maximum(0.2*x2, x2)
        # out
        logits = tf.layers.dense(tf.reshape(x2, (-1, 7*7*128)), 1)
        out = tf.sigmoid(logits)
        
        return out, logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [22]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    # TODO: Implement Function
    with tf.variable_scope('generator', reuse=(not is_train)):
        # First fully connected layer
        x1 = tf.layers.dense(z, 7*7*128)
        x1 = tf.reshape(x1, (-1, 7, 7, 128))
        # batch normalization
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = tf.maximum(0.2*x1, x1)
        # layer2, 14x14x256
        x2 = tf.layers.conv2d_transpose(x1, 256, 5, strides=2, padding='same')
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = tf.maximum(0.2*x2, x2)
        
        # Output layer, 28x28x3
        logits = tf.layers.conv2d_transpose(x2, out_channel_dim, 5, strides=2, padding='same')        
        out = tf.tanh(logits)
        
        return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [24]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    g_model = generator(input_z, out_channel_dim)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)

    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake

    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [25]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)

    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [26]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [65]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
    input_real, input_z, lr = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)    
    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
    d_opt, g_opt = model_opt(d_loss, g_loss, lr, beta1)
    
    steps = 0
    print_every=10
    show_every=100
    
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                steps += 1
                # scale image to [-1,1]
                batch_images = batch_images*2
                # Sample random noise
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))

                # Run optimizers
                _ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z, 
                                               lr: learning_rate})
                _ = sess.run(g_opt, feed_dict={input_real: batch_images, input_z: batch_z, 
                                               lr: learning_rate})

                if steps % print_every == 0:
                    # At the end of each epoch, get the losses and print them out
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z})

                    print("Epoch {}/{}...".format(epoch_i+1, epochs),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))

                if steps % show_every == 0:
                    show_generator_output(sess, batch_size, input_z, data_shape[3], data_image_mode)

                
In [64]:
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
batch1 = mnist_dataset.get_batches(1)
img1 = next(batch1)
img1.min(),img1.max()
Out[64]:
(-0.5, 0.5)

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [66]:
batch_size = 32
z_dim = 100
learning_rate = 0.0005
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Discriminator Loss: 0.4327... Generator Loss: 1.2728
Epoch 1/2... Discriminator Loss: 0.3138... Generator Loss: 1.9459
Epoch 1/2... Discriminator Loss: 0.1102... Generator Loss: 3.1599
Epoch 1/2... Discriminator Loss: 1.4043... Generator Loss: 0.6830
Epoch 1/2... Discriminator Loss: 0.8347... Generator Loss: 1.1242
Epoch 1/2... Discriminator Loss: 1.5483... Generator Loss: 0.4933
Epoch 1/2... Discriminator Loss: 1.2329... Generator Loss: 0.6469
Epoch 1/2... Discriminator Loss: 1.2464... Generator Loss: 0.9429
Epoch 1/2... Discriminator Loss: 1.3377... Generator Loss: 0.6236
Epoch 1/2... Discriminator Loss: 1.3288... Generator Loss: 0.9285
Epoch 1/2... Discriminator Loss: 1.1950... Generator Loss: 0.8597
Epoch 1/2... Discriminator Loss: 1.0022... Generator Loss: 0.8281
Epoch 1/2... Discriminator Loss: 1.3499... Generator Loss: 0.7032
Epoch 1/2... Discriminator Loss: 1.3127... Generator Loss: 0.9884
Epoch 1/2... Discriminator Loss: 1.6794... Generator Loss: 0.8044
Epoch 1/2... Discriminator Loss: 1.3751... Generator Loss: 0.5313
Epoch 1/2... Discriminator Loss: 1.2261... Generator Loss: 0.7920
Epoch 1/2... Discriminator Loss: 1.0439... Generator Loss: 0.7808
Epoch 1/2... Discriminator Loss: 1.2877... Generator Loss: 0.6660
Epoch 1/2... Discriminator Loss: 1.0251... Generator Loss: 0.8173
Epoch 1/2... Discriminator Loss: 1.1327... Generator Loss: 0.6660
Epoch 1/2... Discriminator Loss: 1.1089... Generator Loss: 0.6636
Epoch 1/2... Discriminator Loss: 1.2065... Generator Loss: 0.5337
Epoch 1/2... Discriminator Loss: 1.1068... Generator Loss: 0.8703
Epoch 1/2... Discriminator Loss: 1.0526... Generator Loss: 1.3219
Epoch 1/2... Discriminator Loss: 1.0460... Generator Loss: 0.8207
Epoch 1/2... Discriminator Loss: 1.1555... Generator Loss: 0.7732
Epoch 1/2... Discriminator Loss: 0.8924... Generator Loss: 1.0386
Epoch 1/2... Discriminator Loss: 1.0652... Generator Loss: 0.8818
Epoch 1/2... Discriminator Loss: 1.1071... Generator Loss: 0.9427
Epoch 1/2... Discriminator Loss: 0.9467... Generator Loss: 1.0320
Epoch 1/2... Discriminator Loss: 1.3057... Generator Loss: 0.5554
Epoch 1/2... Discriminator Loss: 1.0706... Generator Loss: 0.7688
Epoch 1/2... Discriminator Loss: 1.2646... Generator Loss: 1.6388
Epoch 1/2... Discriminator Loss: 1.3056... Generator Loss: 0.4244
Epoch 1/2... Discriminator Loss: 1.2895... Generator Loss: 0.4643
Epoch 1/2... Discriminator Loss: 0.9567... Generator Loss: 0.7853
Epoch 1/2... Discriminator Loss: 0.9747... Generator Loss: 0.8004
Epoch 1/2... Discriminator Loss: 1.0931... Generator Loss: 0.6124
Epoch 1/2... Discriminator Loss: 1.2525... Generator Loss: 0.4989
Epoch 1/2... Discriminator Loss: 0.8611... Generator Loss: 1.4392
Epoch 1/2... Discriminator Loss: 0.9325... Generator Loss: 1.2789
Epoch 1/2... Discriminator Loss: 1.1843... Generator Loss: 0.6241
Epoch 1/2... Discriminator Loss: 1.1450... Generator Loss: 1.8581
Epoch 1/2... Discriminator Loss: 1.1521... Generator Loss: 0.6122
Epoch 1/2... Discriminator Loss: 1.0166... Generator Loss: 1.0853
Epoch 1/2... Discriminator Loss: 1.1064... Generator Loss: 0.9533
Epoch 1/2... Discriminator Loss: 1.4278... Generator Loss: 0.3846
Epoch 1/2... Discriminator Loss: 0.8863... Generator Loss: 1.3952
Epoch 1/2... Discriminator Loss: 1.0974... Generator Loss: 1.7644
Epoch 1/2... Discriminator Loss: 1.4297... Generator Loss: 0.3955
Epoch 1/2... Discriminator Loss: 1.1756... Generator Loss: 0.5214
Epoch 1/2... Discriminator Loss: 1.6371... Generator Loss: 0.3346
Epoch 1/2... Discriminator Loss: 1.3376... Generator Loss: 0.5129
Epoch 1/2... Discriminator Loss: 1.1866... Generator Loss: 0.8262
Epoch 1/2... Discriminator Loss: 1.1727... Generator Loss: 0.5525
Epoch 1/2... Discriminator Loss: 1.8249... Generator Loss: 0.2162
Epoch 1/2... Discriminator Loss: 0.9823... Generator Loss: 1.1419
Epoch 1/2... Discriminator Loss: 1.1377... Generator Loss: 0.5431
Epoch 1/2... Discriminator Loss: 1.2141... Generator Loss: 0.5174
Epoch 1/2... Discriminator Loss: 1.2790... Generator Loss: 1.3735
Epoch 1/2... Discriminator Loss: 1.1343... Generator Loss: 0.5929
Epoch 1/2... Discriminator Loss: 1.1216... Generator Loss: 0.7154
Epoch 1/2... Discriminator Loss: 1.0715... Generator Loss: 0.6799
Epoch 1/2... Discriminator Loss: 1.1871... Generator Loss: 0.6035
Epoch 1/2... Discriminator Loss: 1.1402... Generator Loss: 1.2152
Epoch 1/2... Discriminator Loss: 1.3594... Generator Loss: 0.4236
Epoch 1/2... Discriminator Loss: 1.0799... Generator Loss: 1.3450
Epoch 1/2... Discriminator Loss: 1.0787... Generator Loss: 0.8499
Epoch 1/2... Discriminator Loss: 1.0741... Generator Loss: 1.2878
Epoch 1/2... Discriminator Loss: 1.1705... Generator Loss: 0.8412
Epoch 1/2... Discriminator Loss: 1.2211... Generator Loss: 0.7617
Epoch 1/2... Discriminator Loss: 1.3098... Generator Loss: 1.5433
Epoch 1/2... Discriminator Loss: 1.1332... Generator Loss: 1.0702
Epoch 1/2... Discriminator Loss: 0.9539... Generator Loss: 1.6750
Epoch 1/2... Discriminator Loss: 1.2474... Generator Loss: 0.5056
Epoch 1/2... Discriminator Loss: 1.0559... Generator Loss: 0.7534
Epoch 1/2... Discriminator Loss: 1.0638... Generator Loss: 0.7100
Epoch 1/2... Discriminator Loss: 1.3692... Generator Loss: 0.3958
Epoch 1/2... Discriminator Loss: 1.0905... Generator Loss: 0.8310
Epoch 1/2... Discriminator Loss: 1.0057... Generator Loss: 1.3112
Epoch 1/2... Discriminator Loss: 1.1566... Generator Loss: 0.6762
Epoch 1/2... Discriminator Loss: 1.0096... Generator Loss: 1.1264
Epoch 1/2... Discriminator Loss: 1.2291... Generator Loss: 0.6091
Epoch 1/2... Discriminator Loss: 1.2124... Generator Loss: 0.6629
Epoch 1/2... Discriminator Loss: 1.1532... Generator Loss: 1.0511
Epoch 1/2... Discriminator Loss: 1.0665... Generator Loss: 1.0125
Epoch 1/2... Discriminator Loss: 1.1127... Generator Loss: 0.9599
Epoch 1/2... Discriminator Loss: 1.0043... Generator Loss: 1.0111
Epoch 1/2... Discriminator Loss: 1.1050... Generator Loss: 0.5765
Epoch 1/2... Discriminator Loss: 1.1899... Generator Loss: 0.7990
Epoch 1/2... Discriminator Loss: 1.2108... Generator Loss: 0.6214
Epoch 1/2... Discriminator Loss: 1.0162... Generator Loss: 1.1886
Epoch 1/2... Discriminator Loss: 0.8558... Generator Loss: 1.1125
Epoch 1/2... Discriminator Loss: 1.1554... Generator Loss: 0.5355
Epoch 1/2... Discriminator Loss: 1.2712... Generator Loss: 0.8451
Epoch 1/2... Discriminator Loss: 1.1160... Generator Loss: 0.6498
Epoch 1/2... Discriminator Loss: 1.2181... Generator Loss: 0.7376
Epoch 1/2... Discriminator Loss: 1.0707... Generator Loss: 0.7468
Epoch 1/2... Discriminator Loss: 0.9154... Generator Loss: 1.2054
Epoch 1/2... Discriminator Loss: 1.0132... Generator Loss: 0.8730
Epoch 1/2... Discriminator Loss: 1.0011... Generator Loss: 0.9649
Epoch 1/2... Discriminator Loss: 1.3994... Generator Loss: 0.4668
Epoch 1/2... Discriminator Loss: 1.3304... Generator Loss: 0.4434
Epoch 1/2... Discriminator Loss: 1.2159... Generator Loss: 0.5483
Epoch 1/2... Discriminator Loss: 0.9993... Generator Loss: 1.1328
Epoch 1/2... Discriminator Loss: 1.1264... Generator Loss: 0.6758
Epoch 1/2... Discriminator Loss: 1.0779... Generator Loss: 0.8201
Epoch 1/2... Discriminator Loss: 1.3457... Generator Loss: 1.4569
Epoch 1/2... Discriminator Loss: 1.4066... Generator Loss: 0.4421
Epoch 1/2... Discriminator Loss: 1.4855... Generator Loss: 1.3414
Epoch 1/2... Discriminator Loss: 1.0148... Generator Loss: 0.8912
Epoch 1/2... Discriminator Loss: 1.0031... Generator Loss: 0.8956
Epoch 1/2... Discriminator Loss: 1.5893... Generator Loss: 0.3121
Epoch 1/2... Discriminator Loss: 1.1323... Generator Loss: 0.5706
Epoch 1/2... Discriminator Loss: 1.2115... Generator Loss: 0.5287
Epoch 1/2... Discriminator Loss: 1.1710... Generator Loss: 1.4412
Epoch 1/2... Discriminator Loss: 1.9601... Generator Loss: 0.1944
Epoch 1/2... Discriminator Loss: 1.2035... Generator Loss: 1.3747
Epoch 1/2... Discriminator Loss: 1.2160... Generator Loss: 0.5553
Epoch 1/2... Discriminator Loss: 1.0776... Generator Loss: 0.6185
Epoch 1/2... Discriminator Loss: 1.2126... Generator Loss: 0.5855
Epoch 1/2... Discriminator Loss: 1.1558... Generator Loss: 0.5524
Epoch 1/2... Discriminator Loss: 1.0339... Generator Loss: 0.6761
Epoch 1/2... Discriminator Loss: 1.1593... Generator Loss: 0.9271
Epoch 1/2... Discriminator Loss: 1.2691... Generator Loss: 0.7379
Epoch 1/2... Discriminator Loss: 1.1147... Generator Loss: 0.6022
Epoch 1/2... Discriminator Loss: 1.1564... Generator Loss: 0.5895
Epoch 1/2... Discriminator Loss: 0.9997... Generator Loss: 0.9347
Epoch 1/2... Discriminator Loss: 1.0338... Generator Loss: 0.7466
Epoch 1/2... Discriminator Loss: 1.2647... Generator Loss: 0.5145
Epoch 1/2... Discriminator Loss: 1.1210... Generator Loss: 0.7870
Epoch 1/2... Discriminator Loss: 1.1518... Generator Loss: 0.6367
Epoch 1/2... Discriminator Loss: 1.2744... Generator Loss: 1.5303
Epoch 1/2... Discriminator Loss: 0.8327... Generator Loss: 1.1149
Epoch 1/2... Discriminator Loss: 0.9811... Generator Loss: 0.7083
Epoch 1/2... Discriminator Loss: 1.1279... Generator Loss: 0.6083
Epoch 1/2... Discriminator Loss: 1.2606... Generator Loss: 0.4456
Epoch 1/2... Discriminator Loss: 1.0715... Generator Loss: 0.9252
Epoch 1/2... Discriminator Loss: 0.9572... Generator Loss: 1.1189
Epoch 1/2... Discriminator Loss: 1.1157... Generator Loss: 0.8969
Epoch 1/2... Discriminator Loss: 1.1187... Generator Loss: 0.6419
Epoch 1/2... Discriminator Loss: 1.0895... Generator Loss: 0.9557
Epoch 1/2... Discriminator Loss: 2.1512... Generator Loss: 0.1685
Epoch 1/2... Discriminator Loss: 1.0437... Generator Loss: 1.4131
Epoch 1/2... Discriminator Loss: 0.9457... Generator Loss: 1.4017
Epoch 1/2... Discriminator Loss: 1.1288... Generator Loss: 0.5794
Epoch 1/2... Discriminator Loss: 1.3544... Generator Loss: 0.4694
Epoch 1/2... Discriminator Loss: 1.0171... Generator Loss: 0.9121
Epoch 1/2... Discriminator Loss: 1.0192... Generator Loss: 1.4014
Epoch 1/2... Discriminator Loss: 1.0372... Generator Loss: 0.7754
Epoch 1/2... Discriminator Loss: 1.1251... Generator Loss: 0.5350
Epoch 1/2... Discriminator Loss: 1.1053... Generator Loss: 0.6025
Epoch 1/2... Discriminator Loss: 0.9611... Generator Loss: 0.8012
Epoch 1/2... Discriminator Loss: 1.3368... Generator Loss: 1.5676
Epoch 1/2... Discriminator Loss: 0.8765... Generator Loss: 1.0509
Epoch 1/2... Discriminator Loss: 0.9752... Generator Loss: 0.9025
Epoch 1/2... Discriminator Loss: 0.9966... Generator Loss: 1.0078
Epoch 1/2... Discriminator Loss: 1.1631... Generator Loss: 0.5534
Epoch 1/2... Discriminator Loss: 1.0683... Generator Loss: 0.9397
Epoch 1/2... Discriminator Loss: 1.1555... Generator Loss: 0.6822
Epoch 1/2... Discriminator Loss: 1.3106... Generator Loss: 0.6050
Epoch 1/2... Discriminator Loss: 0.7979... Generator Loss: 1.1818
Epoch 1/2... Discriminator Loss: 1.0294... Generator Loss: 0.7466
Epoch 1/2... Discriminator Loss: 0.9082... Generator Loss: 0.9034
Epoch 1/2... Discriminator Loss: 1.1278... Generator Loss: 0.6157
Epoch 1/2... Discriminator Loss: 0.9299... Generator Loss: 0.8996
Epoch 1/2... Discriminator Loss: 1.7604... Generator Loss: 2.9579
Epoch 1/2... Discriminator Loss: 0.9038... Generator Loss: 1.1931
Epoch 1/2... Discriminator Loss: 1.2724... Generator Loss: 0.6413
Epoch 1/2... Discriminator Loss: 1.2094... Generator Loss: 0.5189
Epoch 1/2... Discriminator Loss: 0.6739... Generator Loss: 1.7224
Epoch 1/2... Discriminator Loss: 1.0684... Generator Loss: 0.6401
Epoch 1/2... Discriminator Loss: 1.1881... Generator Loss: 0.4607
Epoch 1/2... Discriminator Loss: 0.8484... Generator Loss: 1.0269
Epoch 1/2... Discriminator Loss: 1.0077... Generator Loss: 0.8792
Epoch 1/2... Discriminator Loss: 1.3167... Generator Loss: 1.6585
Epoch 1/2... Discriminator Loss: 1.3755... Generator Loss: 0.4087
Epoch 1/2... Discriminator Loss: 1.2763... Generator Loss: 0.4324
Epoch 1/2... Discriminator Loss: 0.9006... Generator Loss: 0.7540
Epoch 1/2... Discriminator Loss: 0.8376... Generator Loss: 0.9209
Epoch 1/2... Discriminator Loss: 0.7762... Generator Loss: 1.2716
Epoch 1/2... Discriminator Loss: 1.6887... Generator Loss: 0.3062
Epoch 1/2... Discriminator Loss: 0.8150... Generator Loss: 1.3277
Epoch 1/2... Discriminator Loss: 0.8660... Generator Loss: 1.0740
Epoch 1/2... Discriminator Loss: 1.0470... Generator Loss: 1.7932
Epoch 1/2... Discriminator Loss: 0.7850... Generator Loss: 1.1147
Epoch 2/2... Discriminator Loss: 1.3858... Generator Loss: 0.4273
Epoch 2/2... Discriminator Loss: 1.0189... Generator Loss: 0.6429
Epoch 2/2... Discriminator Loss: 1.0168... Generator Loss: 0.6355
Epoch 2/2... Discriminator Loss: 1.1640... Generator Loss: 0.5510
Epoch 2/2... Discriminator Loss: 0.7944... Generator Loss: 0.9060
Epoch 2/2... Discriminator Loss: 0.5611... Generator Loss: 1.3175
Epoch 2/2... Discriminator Loss: 1.5841... Generator Loss: 2.6314
Epoch 2/2... Discriminator Loss: 1.2961... Generator Loss: 0.6104
Epoch 2/2... Discriminator Loss: 1.2382... Generator Loss: 1.0691
Epoch 2/2... Discriminator Loss: 1.2139... Generator Loss: 1.7203
Epoch 2/2... Discriminator Loss: 1.0493... Generator Loss: 1.1479
Epoch 2/2... Discriminator Loss: 1.0162... Generator Loss: 1.6944
Epoch 2/2... Discriminator Loss: 0.8198... Generator Loss: 1.5949
Epoch 2/2... Discriminator Loss: 0.9940... Generator Loss: 0.7373
Epoch 2/2... Discriminator Loss: 0.9015... Generator Loss: 0.8301
Epoch 2/2... Discriminator Loss: 0.7701... Generator Loss: 1.3090
Epoch 2/2... Discriminator Loss: 0.7373... Generator Loss: 1.3805
Epoch 2/2... Discriminator Loss: 0.8045... Generator Loss: 1.3759
Epoch 2/2... Discriminator Loss: 0.6311... Generator Loss: 1.4660
Epoch 2/2... Discriminator Loss: 0.7491... Generator Loss: 1.1096
Epoch 2/2... Discriminator Loss: 1.7413... Generator Loss: 0.3059
Epoch 2/2... Discriminator Loss: 0.9724... Generator Loss: 0.8035
Epoch 2/2... Discriminator Loss: 1.0360... Generator Loss: 0.6127
Epoch 2/2... Discriminator Loss: 0.9354... Generator Loss: 0.7865
Epoch 2/2... Discriminator Loss: 0.7839... Generator Loss: 1.1892
Epoch 2/2... Discriminator Loss: 1.0441... Generator Loss: 1.8838
Epoch 2/2... Discriminator Loss: 1.1988... Generator Loss: 0.5132
Epoch 2/2... Discriminator Loss: 0.8894... Generator Loss: 1.6753
Epoch 2/2... Discriminator Loss: 0.8145... Generator Loss: 1.0090
Epoch 2/2... Discriminator Loss: 1.3764... Generator Loss: 0.3849
Epoch 2/2... Discriminator Loss: 1.8183... Generator Loss: 2.2136
Epoch 2/2... Discriminator Loss: 1.0028... Generator Loss: 1.2259
Epoch 2/2... Discriminator Loss: 0.7498... Generator Loss: 1.5539
Epoch 2/2... Discriminator Loss: 0.8721... Generator Loss: 0.9517
Epoch 2/2... Discriminator Loss: 1.0805... Generator Loss: 0.8055
Epoch 2/2... Discriminator Loss: 1.0556... Generator Loss: 1.7480
Epoch 2/2... Discriminator Loss: 0.8759... Generator Loss: 1.1042
Epoch 2/2... Discriminator Loss: 0.9639... Generator Loss: 0.6394
Epoch 2/2... Discriminator Loss: 0.7105... Generator Loss: 1.2449
Epoch 2/2... Discriminator Loss: 0.9679... Generator Loss: 0.6962
Epoch 2/2... Discriminator Loss: 0.7185... Generator Loss: 0.9994
Epoch 2/2... Discriminator Loss: 1.0300... Generator Loss: 0.6368
Epoch 2/2... Discriminator Loss: 1.4156... Generator Loss: 2.5647
Epoch 2/2... Discriminator Loss: 0.9443... Generator Loss: 0.7513
Epoch 2/2... Discriminator Loss: 1.0862... Generator Loss: 0.6108
Epoch 2/2... Discriminator Loss: 0.7335... Generator Loss: 1.0051
Epoch 2/2... Discriminator Loss: 0.9430... Generator Loss: 0.7721
Epoch 2/2... Discriminator Loss: 0.9655... Generator Loss: 0.6891
Epoch 2/2... Discriminator Loss: 0.9574... Generator Loss: 0.6832
Epoch 2/2... Discriminator Loss: 0.8177... Generator Loss: 0.9292
Epoch 2/2... Discriminator Loss: 1.8945... Generator Loss: 0.2568
Epoch 2/2... Discriminator Loss: 0.7904... Generator Loss: 0.9964
Epoch 2/2... Discriminator Loss: 1.1905... Generator Loss: 0.4643
Epoch 2/2... Discriminator Loss: 1.0214... Generator Loss: 0.8598
Epoch 2/2... Discriminator Loss: 1.0005... Generator Loss: 0.8344
Epoch 2/2... Discriminator Loss: 0.8646... Generator Loss: 1.0404
Epoch 2/2... Discriminator Loss: 0.6976... Generator Loss: 1.3711
Epoch 2/2... Discriminator Loss: 0.6516... Generator Loss: 1.4536
Epoch 2/2... Discriminator Loss: 1.8155... Generator Loss: 0.2750
Epoch 2/2... Discriminator Loss: 1.2458... Generator Loss: 0.6048
Epoch 2/2... Discriminator Loss: 0.9325... Generator Loss: 0.9814
Epoch 2/2... Discriminator Loss: 0.9347... Generator Loss: 0.8593
Epoch 2/2... Discriminator Loss: 0.7718... Generator Loss: 1.1345
Epoch 2/2... Discriminator Loss: 0.7758... Generator Loss: 1.1980
Epoch 2/2... Discriminator Loss: 1.1459... Generator Loss: 0.5062
Epoch 2/2... Discriminator Loss: 1.0302... Generator Loss: 0.9183
Epoch 2/2... Discriminator Loss: 0.7388... Generator Loss: 1.4947
Epoch 2/2... Discriminator Loss: 1.0341... Generator Loss: 0.6885
Epoch 2/2... Discriminator Loss: 1.2781... Generator Loss: 0.4512
Epoch 2/2... Discriminator Loss: 1.0310... Generator Loss: 0.6320
Epoch 2/2... Discriminator Loss: 0.6020... Generator Loss: 1.5236
Epoch 2/2... Discriminator Loss: 1.5724... Generator Loss: 0.2885
Epoch 2/2... Discriminator Loss: 0.8608... Generator Loss: 0.7609
Epoch 2/2... Discriminator Loss: 1.0758... Generator Loss: 2.2113
Epoch 2/2... Discriminator Loss: 1.0052... Generator Loss: 1.1681
Epoch 2/2... Discriminator Loss: 1.2414... Generator Loss: 0.4386
Epoch 2/2... Discriminator Loss: 0.5823... Generator Loss: 1.4386
Epoch 2/2... Discriminator Loss: 0.6582... Generator Loss: 1.4640
Epoch 2/2... Discriminator Loss: 1.0089... Generator Loss: 0.5844
Epoch 2/2... Discriminator Loss: 0.8132... Generator Loss: 1.3986
Epoch 2/2... Discriminator Loss: 0.9866... Generator Loss: 0.9467
Epoch 2/2... Discriminator Loss: 0.9133... Generator Loss: 0.8264
Epoch 2/2... Discriminator Loss: 0.8980... Generator Loss: 0.8311
Epoch 2/2... Discriminator Loss: 0.8790... Generator Loss: 0.7066
Epoch 2/2... Discriminator Loss: 0.8824... Generator Loss: 0.8342
Epoch 2/2... Discriminator Loss: 0.9341... Generator Loss: 0.7596
Epoch 2/2... Discriminator Loss: 1.1277... Generator Loss: 2.2615
Epoch 2/2... Discriminator Loss: 0.8220... Generator Loss: 0.8704
Epoch 2/2... Discriminator Loss: 1.4101... Generator Loss: 0.4007
Epoch 2/2... Discriminator Loss: 1.0208... Generator Loss: 0.7040
Epoch 2/2... Discriminator Loss: 0.7590... Generator Loss: 1.2934
Epoch 2/2... Discriminator Loss: 0.7558... Generator Loss: 1.1927
Epoch 2/2... Discriminator Loss: 0.9863... Generator Loss: 1.8290
Epoch 2/2... Discriminator Loss: 1.9478... Generator Loss: 0.2032
Epoch 2/2... Discriminator Loss: 0.8585... Generator Loss: 1.5654
Epoch 2/2... Discriminator Loss: 0.8594... Generator Loss: 1.2760
Epoch 2/2... Discriminator Loss: 0.9528... Generator Loss: 0.6922
Epoch 2/2... Discriminator Loss: 1.1240... Generator Loss: 0.5072
Epoch 2/2... Discriminator Loss: 0.7831... Generator Loss: 0.8877
Epoch 2/2... Discriminator Loss: 1.3697... Generator Loss: 2.8548
Epoch 2/2... Discriminator Loss: 1.0768... Generator Loss: 0.5384
Epoch 2/2... Discriminator Loss: 0.9088... Generator Loss: 0.7729
Epoch 2/2... Discriminator Loss: 0.6614... Generator Loss: 0.9633
Epoch 2/2... Discriminator Loss: 1.2184... Generator Loss: 0.4380
Epoch 2/2... Discriminator Loss: 0.8154... Generator Loss: 1.3576
Epoch 2/2... Discriminator Loss: 0.8664... Generator Loss: 0.7233
Epoch 2/2... Discriminator Loss: 0.5494... Generator Loss: 1.7549
Epoch 2/2... Discriminator Loss: 0.8906... Generator Loss: 1.2217
Epoch 2/2... Discriminator Loss: 1.2066... Generator Loss: 0.4502
Epoch 2/2... Discriminator Loss: 0.7943... Generator Loss: 1.0471
Epoch 2/2... Discriminator Loss: 1.1467... Generator Loss: 0.5612
Epoch 2/2... Discriminator Loss: 0.8900... Generator Loss: 0.8373
Epoch 2/2... Discriminator Loss: 1.0775... Generator Loss: 0.5417
Epoch 2/2... Discriminator Loss: 0.8013... Generator Loss: 0.8219
Epoch 2/2... Discriminator Loss: 0.5977... Generator Loss: 1.1277
Epoch 2/2... Discriminator Loss: 0.8177... Generator Loss: 0.7807
Epoch 2/2... Discriminator Loss: 0.6528... Generator Loss: 1.2040
Epoch 2/2... Discriminator Loss: 0.5916... Generator Loss: 1.4023
Epoch 2/2... Discriminator Loss: 0.9165... Generator Loss: 1.0120
Epoch 2/2... Discriminator Loss: 0.7488... Generator Loss: 1.3968
Epoch 2/2... Discriminator Loss: 0.7572... Generator Loss: 1.0579
Epoch 2/2... Discriminator Loss: 1.2640... Generator Loss: 0.4608
Epoch 2/2... Discriminator Loss: 0.9811... Generator Loss: 0.7178
Epoch 2/2... Discriminator Loss: 1.1105... Generator Loss: 0.5556
Epoch 2/2... Discriminator Loss: 1.9452... Generator Loss: 0.3103
Epoch 2/2... Discriminator Loss: 0.9726... Generator Loss: 0.6259
Epoch 2/2... Discriminator Loss: 1.0284... Generator Loss: 0.7436
Epoch 2/2... Discriminator Loss: 0.8485... Generator Loss: 1.4592
Epoch 2/2... Discriminator Loss: 0.8443... Generator Loss: 1.2088
Epoch 2/2... Discriminator Loss: 0.7953... Generator Loss: 1.5208
Epoch 2/2... Discriminator Loss: 0.8261... Generator Loss: 0.8046
Epoch 2/2... Discriminator Loss: 1.1202... Generator Loss: 0.5289
Epoch 2/2... Discriminator Loss: 0.6423... Generator Loss: 1.4911
Epoch 2/2... Discriminator Loss: 1.4269... Generator Loss: 0.3909
Epoch 2/2... Discriminator Loss: 0.8235... Generator Loss: 0.8062
Epoch 2/2... Discriminator Loss: 1.0856... Generator Loss: 0.5408
Epoch 2/2... Discriminator Loss: 0.8542... Generator Loss: 0.7159
Epoch 2/2... Discriminator Loss: 0.8275... Generator Loss: 0.9154
Epoch 2/2... Discriminator Loss: 1.2348... Generator Loss: 0.4334
Epoch 2/2... Discriminator Loss: 0.5992... Generator Loss: 1.2850
Epoch 2/2... Discriminator Loss: 0.8855... Generator Loss: 0.8330
Epoch 2/2... Discriminator Loss: 0.9883... Generator Loss: 0.6045
Epoch 2/2... Discriminator Loss: 1.2498... Generator Loss: 3.3278
Epoch 2/2... Discriminator Loss: 0.7460... Generator Loss: 1.5491
Epoch 2/2... Discriminator Loss: 0.4886... Generator Loss: 1.5080
Epoch 2/2... Discriminator Loss: 1.1366... Generator Loss: 0.5303
Epoch 2/2... Discriminator Loss: 0.6494... Generator Loss: 1.1547
Epoch 2/2... Discriminator Loss: 0.4984... Generator Loss: 1.3513
Epoch 2/2... Discriminator Loss: 0.7866... Generator Loss: 0.9083
Epoch 2/2... Discriminator Loss: 0.7357... Generator Loss: 0.8839
Epoch 2/2... Discriminator Loss: 1.0484... Generator Loss: 0.6357
Epoch 2/2... Discriminator Loss: 1.0592... Generator Loss: 3.0599
Epoch 2/2... Discriminator Loss: 1.0671... Generator Loss: 0.6242
Epoch 2/2... Discriminator Loss: 1.3068... Generator Loss: 0.3959
Epoch 2/2... Discriminator Loss: 0.9364... Generator Loss: 0.7163
Epoch 2/2... Discriminator Loss: 0.7705... Generator Loss: 0.9643
Epoch 2/2... Discriminator Loss: 0.5980... Generator Loss: 1.5001
Epoch 2/2... Discriminator Loss: 1.0273... Generator Loss: 2.1541
Epoch 2/2... Discriminator Loss: 0.8852... Generator Loss: 0.8457
Epoch 2/2... Discriminator Loss: 0.8126... Generator Loss: 0.7766
Epoch 2/2... Discriminator Loss: 0.7363... Generator Loss: 0.9015
Epoch 2/2... Discriminator Loss: 0.8688... Generator Loss: 3.0995
Epoch 2/2... Discriminator Loss: 0.7750... Generator Loss: 1.0414
Epoch 2/2... Discriminator Loss: 1.1990... Generator Loss: 0.4980
Epoch 2/2... Discriminator Loss: 0.6324... Generator Loss: 1.0199
Epoch 2/2... Discriminator Loss: 0.7747... Generator Loss: 0.9365
Epoch 2/2... Discriminator Loss: 0.5096... Generator Loss: 1.7185
Epoch 2/2... Discriminator Loss: 0.7390... Generator Loss: 1.0464
Epoch 2/2... Discriminator Loss: 0.9136... Generator Loss: 0.6743
Epoch 2/2... Discriminator Loss: 0.6093... Generator Loss: 1.7757
Epoch 2/2... Discriminator Loss: 0.6159... Generator Loss: 1.2808
Epoch 2/2... Discriminator Loss: 0.7012... Generator Loss: 1.0365
Epoch 2/2... Discriminator Loss: 2.0328... Generator Loss: 0.2572
Epoch 2/2... Discriminator Loss: 1.3094... Generator Loss: 0.6060
Epoch 2/2... Discriminator Loss: 0.7368... Generator Loss: 1.3165
Epoch 2/2... Discriminator Loss: 0.8777... Generator Loss: 0.8695
Epoch 2/2... Discriminator Loss: 1.2614... Generator Loss: 0.5177
Epoch 2/2... Discriminator Loss: 0.7081... Generator Loss: 1.7075
Epoch 2/2... Discriminator Loss: 0.7422... Generator Loss: 0.9952
Epoch 2/2... Discriminator Loss: 0.6386... Generator Loss: 2.1833
Epoch 2/2... Discriminator Loss: 1.4921... Generator Loss: 0.3417
Epoch 2/2... Discriminator Loss: 0.9879... Generator Loss: 0.6628
Epoch 2/2... Discriminator Loss: 1.1187... Generator Loss: 0.5164
Epoch 2/2... Discriminator Loss: 1.0071... Generator Loss: 0.6609
Epoch 2/2... Discriminator Loss: 0.8315... Generator Loss: 0.8383
Epoch 2/2... Discriminator Loss: 0.7147... Generator Loss: 0.9306
Epoch 2/2... Discriminator Loss: 0.6891... Generator Loss: 1.3045
Epoch 2/2... Discriminator Loss: 0.6937... Generator Loss: 1.2057

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [72]:
batch_size = 32
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Discriminator Loss: 2.0311... Generator Loss: 0.2286
Epoch 1/1... Discriminator Loss: 1.2748... Generator Loss: 0.5186
Epoch 1/1... Discriminator Loss: 1.2082... Generator Loss: 0.7138
Epoch 1/1... Discriminator Loss: 0.8459... Generator Loss: 0.9151
Epoch 1/1... Discriminator Loss: 0.8309... Generator Loss: 1.2429
Epoch 1/1... Discriminator Loss: 0.9498... Generator Loss: 0.9627
Epoch 1/1... Discriminator Loss: 1.1015... Generator Loss: 0.6379
Epoch 1/1... Discriminator Loss: 0.8095... Generator Loss: 0.9755
Epoch 1/1... Discriminator Loss: 1.0223... Generator Loss: 1.1673
Epoch 1/1... Discriminator Loss: 1.2609... Generator Loss: 0.5598
Epoch 1/1... Discriminator Loss: 0.8246... Generator Loss: 1.5112
Epoch 1/1... Discriminator Loss: 0.8729... Generator Loss: 1.3394
Epoch 1/1... Discriminator Loss: 0.8977... Generator Loss: 1.1332
Epoch 1/1... Discriminator Loss: 1.1592... Generator Loss: 0.8062
Epoch 1/1... Discriminator Loss: 1.2453... Generator Loss: 1.0357
Epoch 1/1... Discriminator Loss: 1.3169... Generator Loss: 0.5261
Epoch 1/1... Discriminator Loss: 0.9398... Generator Loss: 1.2673
Epoch 1/1... Discriminator Loss: 1.4337... Generator Loss: 0.4449
Epoch 1/1... Discriminator Loss: 1.4059... Generator Loss: 0.5437
Epoch 1/1... Discriminator Loss: 0.9251... Generator Loss: 0.7283
Epoch 1/1... Discriminator Loss: 1.1266... Generator Loss: 1.6591
Epoch 1/1... Discriminator Loss: 1.6209... Generator Loss: 2.8453
Epoch 1/1... Discriminator Loss: 1.0483... Generator Loss: 1.2603
Epoch 1/1... Discriminator Loss: 1.3435... Generator Loss: 0.4531
Epoch 1/1... Discriminator Loss: 1.1524... Generator Loss: 0.5657
Epoch 1/1... Discriminator Loss: 1.2905... Generator Loss: 2.1138
Epoch 1/1... Discriminator Loss: 0.7903... Generator Loss: 0.8897
Epoch 1/1... Discriminator Loss: 1.1343... Generator Loss: 1.0348
Epoch 1/1... Discriminator Loss: 0.5985... Generator Loss: 1.6111
Epoch 1/1... Discriminator Loss: 0.9249... Generator Loss: 1.0220
Epoch 1/1... Discriminator Loss: 0.2873... Generator Loss: 2.6564
Epoch 1/1... Discriminator Loss: 1.5582... Generator Loss: 0.3476
Epoch 1/1... Discriminator Loss: 0.9570... Generator Loss: 1.0498
Epoch 1/1... Discriminator Loss: 0.5518... Generator Loss: 1.7124
Epoch 1/1... Discriminator Loss: 1.0440... Generator Loss: 1.0640
Epoch 1/1... Discriminator Loss: 0.7063... Generator Loss: 2.5153
Epoch 1/1... Discriminator Loss: 0.8972... Generator Loss: 1.7758
Epoch 1/1... Discriminator Loss: 0.5769... Generator Loss: 3.3456
Epoch 1/1... Discriminator Loss: 1.0875... Generator Loss: 0.7248
Epoch 1/1... Discriminator Loss: 1.1826... Generator Loss: 0.6345
Epoch 1/1... Discriminator Loss: 1.1989... Generator Loss: 1.1099
Epoch 1/1... Discriminator Loss: 1.3002... Generator Loss: 0.7718
Epoch 1/1... Discriminator Loss: 1.9376... Generator Loss: 0.2045
Epoch 1/1... Discriminator Loss: 0.8484... Generator Loss: 0.9700
Epoch 1/1... Discriminator Loss: 1.3157... Generator Loss: 0.4249
Epoch 1/1... Discriminator Loss: 1.5319... Generator Loss: 0.3501
Epoch 1/1... Discriminator Loss: 1.6360... Generator Loss: 0.2942
Epoch 1/1... Discriminator Loss: 1.8553... Generator Loss: 0.2280
Epoch 1/1... Discriminator Loss: 0.7889... Generator Loss: 1.1961
Epoch 1/1... Discriminator Loss: 0.6686... Generator Loss: 1.5655
Epoch 1/1... Discriminator Loss: 0.7356... Generator Loss: 1.7954
Epoch 1/1... Discriminator Loss: 0.6921... Generator Loss: 1.1330
Epoch 1/1... Discriminator Loss: 1.5321... Generator Loss: 0.2982
Epoch 1/1... Discriminator Loss: 1.1823... Generator Loss: 0.5652
Epoch 1/1... Discriminator Loss: 0.7047... Generator Loss: 1.3125
Epoch 1/1... Discriminator Loss: 0.4308... Generator Loss: 3.3263
Epoch 1/1... Discriminator Loss: 0.8413... Generator Loss: 1.2605
Epoch 1/1... Discriminator Loss: 0.3609... Generator Loss: 3.5919
Epoch 1/1... Discriminator Loss: 0.3876... Generator Loss: 1.8629
Epoch 1/1... Discriminator Loss: 0.5531... Generator Loss: 2.4011
Epoch 1/1... Discriminator Loss: 0.2865... Generator Loss: 2.5205
Epoch 1/1... Discriminator Loss: 0.3293... Generator Loss: 3.7869
Epoch 1/1... Discriminator Loss: 0.3964... Generator Loss: 3.1813
Epoch 1/1... Discriminator Loss: 0.6156... Generator Loss: 2.1369
Epoch 1/1... Discriminator Loss: 0.8615... Generator Loss: 2.7137
Epoch 1/1... Discriminator Loss: 1.2306... Generator Loss: 0.9667
Epoch 1/1... Discriminator Loss: 0.4436... Generator Loss: 1.6156
Epoch 1/1... Discriminator Loss: 0.8381... Generator Loss: 2.1108
Epoch 1/1... Discriminator Loss: 1.0684... Generator Loss: 0.5243
Epoch 1/1... Discriminator Loss: 0.6184... Generator Loss: 3.9281
Epoch 1/1... Discriminator Loss: 0.5524... Generator Loss: 1.2925
Epoch 1/1... Discriminator Loss: 0.3382... Generator Loss: 2.5733
Epoch 1/1... Discriminator Loss: 0.3602... Generator Loss: 1.9108
Epoch 1/1... Discriminator Loss: 0.5600... Generator Loss: 1.2174
Epoch 1/1... Discriminator Loss: 0.2524... Generator Loss: 2.6072
Epoch 1/1... Discriminator Loss: 0.4734... Generator Loss: 1.6413
Epoch 1/1... Discriminator Loss: 0.1799... Generator Loss: 3.0200
Epoch 1/1... Discriminator Loss: 0.7078... Generator Loss: 1.0765
Epoch 1/1... Discriminator Loss: 1.0625... Generator Loss: 0.6125
Epoch 1/1... Discriminator Loss: 0.4138... Generator Loss: 2.6334
Epoch 1/1... Discriminator Loss: 0.3631... Generator Loss: 3.5746
Epoch 1/1... Discriminator Loss: 1.3364... Generator Loss: 0.4063
Epoch 1/1... Discriminator Loss: 0.3797... Generator Loss: 1.9065
Epoch 1/1... Discriminator Loss: 0.4866... Generator Loss: 1.9128
Epoch 1/1... Discriminator Loss: 0.6058... Generator Loss: 1.7894
Epoch 1/1... Discriminator Loss: 1.3119... Generator Loss: 0.4044
Epoch 1/1... Discriminator Loss: 0.9789... Generator Loss: 0.5869
Epoch 1/1... Discriminator Loss: 0.4621... Generator Loss: 1.3350
Epoch 1/1... Discriminator Loss: 0.4794... Generator Loss: 1.5305
Epoch 1/1... Discriminator Loss: 1.0393... Generator Loss: 2.0958
Epoch 1/1... Discriminator Loss: 0.8242... Generator Loss: 1.1840
Epoch 1/1... Discriminator Loss: 0.7810... Generator Loss: 1.0077
Epoch 1/1... Discriminator Loss: 0.3667... Generator Loss: 2.8577
Epoch 1/1... Discriminator Loss: 1.1302... Generator Loss: 0.5041
Epoch 1/1... Discriminator Loss: 0.6509... Generator Loss: 1.7695
Epoch 1/1... Discriminator Loss: 1.3061... Generator Loss: 2.3878
Epoch 1/1... Discriminator Loss: 0.3678... Generator Loss: 2.1731
Epoch 1/1... Discriminator Loss: 0.8049... Generator Loss: 1.4409
Epoch 1/1... Discriminator Loss: 1.3564... Generator Loss: 1.4660
Epoch 1/1... Discriminator Loss: 0.5146... Generator Loss: 1.4750
Epoch 1/1... Discriminator Loss: 1.1714... Generator Loss: 0.6446
Epoch 1/1... Discriminator Loss: 1.0893... Generator Loss: 2.7069
Epoch 1/1... Discriminator Loss: 0.9398... Generator Loss: 0.6554
Epoch 1/1... Discriminator Loss: 0.7762... Generator Loss: 1.0915
Epoch 1/1... Discriminator Loss: 0.5594... Generator Loss: 3.5122
Epoch 1/1... Discriminator Loss: 0.8744... Generator Loss: 1.2774
Epoch 1/1... Discriminator Loss: 1.9219... Generator Loss: 0.2396
Epoch 1/1... Discriminator Loss: 0.4158... Generator Loss: 3.1202
Epoch 1/1... Discriminator Loss: 0.6804... Generator Loss: 1.2213
Epoch 1/1... Discriminator Loss: 0.7143... Generator Loss: 1.3047
Epoch 1/1... Discriminator Loss: 0.6384... Generator Loss: 3.0408
Epoch 1/1... Discriminator Loss: 0.6604... Generator Loss: 1.4434
Epoch 1/1... Discriminator Loss: 1.0185... Generator Loss: 1.9931
Epoch 1/1... Discriminator Loss: 0.6267... Generator Loss: 2.1074
Epoch 1/1... Discriminator Loss: 1.2229... Generator Loss: 0.4815
Epoch 1/1... Discriminator Loss: 0.4841... Generator Loss: 1.7654
Epoch 1/1... Discriminator Loss: 0.4057... Generator Loss: 1.9024
Epoch 1/1... Discriminator Loss: 0.5147... Generator Loss: 1.7028
Epoch 1/1... Discriminator Loss: 0.7607... Generator Loss: 4.7268
Epoch 1/1... Discriminator Loss: 0.7537... Generator Loss: 2.1994
Epoch 1/1... Discriminator Loss: 0.4837... Generator Loss: 3.3584
Epoch 1/1... Discriminator Loss: 0.5277... Generator Loss: 1.5129
Epoch 1/1... Discriminator Loss: 0.6996... Generator Loss: 1.4980
Epoch 1/1... Discriminator Loss: 0.4122... Generator Loss: 2.0420
Epoch 1/1... Discriminator Loss: 0.2823... Generator Loss: 2.7781
Epoch 1/1... Discriminator Loss: 0.3898... Generator Loss: 1.9555
Epoch 1/1... Discriminator Loss: 1.2597... Generator Loss: 0.4145
Epoch 1/1... Discriminator Loss: 0.5595... Generator Loss: 1.3539
Epoch 1/1... Discriminator Loss: 0.3163... Generator Loss: 2.8314
Epoch 1/1... Discriminator Loss: 0.8124... Generator Loss: 4.5921
Epoch 1/1... Discriminator Loss: 0.3208... Generator Loss: 3.5656
Epoch 1/1... Discriminator Loss: 2.4583... Generator Loss: 0.1077
Epoch 1/1... Discriminator Loss: 0.5869... Generator Loss: 4.4321
Epoch 1/1... Discriminator Loss: 0.3681... Generator Loss: 1.8763
Epoch 1/1... Discriminator Loss: 0.2605... Generator Loss: 3.8967
Epoch 1/1... Discriminator Loss: 1.8005... Generator Loss: 0.2464
Epoch 1/1... Discriminator Loss: 0.6481... Generator Loss: 1.2600
Epoch 1/1... Discriminator Loss: 0.4187... Generator Loss: 4.1453
Epoch 1/1... Discriminator Loss: 1.0888... Generator Loss: 1.2219
Epoch 1/1... Discriminator Loss: 0.9908... Generator Loss: 0.5971
Epoch 1/1... Discriminator Loss: 0.5420... Generator Loss: 4.3521
Epoch 1/1... Discriminator Loss: 0.6395... Generator Loss: 1.2832
Epoch 1/1... Discriminator Loss: 0.3097... Generator Loss: 3.5937
Epoch 1/1... Discriminator Loss: 0.8276... Generator Loss: 1.4091
Epoch 1/1... Discriminator Loss: 0.3549... Generator Loss: 2.9064
Epoch 1/1... Discriminator Loss: 0.4127... Generator Loss: 4.1282
Epoch 1/1... Discriminator Loss: 0.9450... Generator Loss: 0.7137
Epoch 1/1... Discriminator Loss: 1.2296... Generator Loss: 0.4916
Epoch 1/1... Discriminator Loss: 0.3252... Generator Loss: 3.8313
Epoch 1/1... Discriminator Loss: 0.6525... Generator Loss: 6.5962
Epoch 1/1... Discriminator Loss: 1.0743... Generator Loss: 0.7373
Epoch 1/1... Discriminator Loss: 0.3850... Generator Loss: 2.1123
Epoch 1/1... Discriminator Loss: 0.7484... Generator Loss: 1.2124
Epoch 1/1... Discriminator Loss: 0.2687... Generator Loss: 2.7564
Epoch 1/1... Discriminator Loss: 2.1467... Generator Loss: 0.1484
Epoch 1/1... Discriminator Loss: 0.5971... Generator Loss: 1.6300
Epoch 1/1... Discriminator Loss: 0.5350... Generator Loss: 1.6757
Epoch 1/1... Discriminator Loss: 1.0064... Generator Loss: 0.8541
Epoch 1/1... Discriminator Loss: 0.7709... Generator Loss: 0.9407
Epoch 1/1... Discriminator Loss: 0.5241... Generator Loss: 2.0547
Epoch 1/1... Discriminator Loss: 1.2497... Generator Loss: 0.4889
Epoch 1/1... Discriminator Loss: 0.3013... Generator Loss: 2.9036
Epoch 1/1... Discriminator Loss: 1.4986... Generator Loss: 0.4140
Epoch 1/1... Discriminator Loss: 0.2282... Generator Loss: 3.3139
Epoch 1/1... Discriminator Loss: 0.3755... Generator Loss: 2.8457
Epoch 1/1... Discriminator Loss: 0.7783... Generator Loss: 6.6481
Epoch 1/1... Discriminator Loss: 0.3888... Generator Loss: 5.4946
Epoch 1/1... Discriminator Loss: 1.3169... Generator Loss: 0.4134
Epoch 1/1... Discriminator Loss: 0.4430... Generator Loss: 2.1516
Epoch 1/1... Discriminator Loss: 0.2679... Generator Loss: 5.0253
Epoch 1/1... Discriminator Loss: 0.4552... Generator Loss: 1.4210
Epoch 1/1... Discriminator Loss: 0.2343... Generator Loss: 4.9272
Epoch 1/1... Discriminator Loss: 0.3035... Generator Loss: 2.2610
Epoch 1/1... Discriminator Loss: 0.2997... Generator Loss: 2.6164
Epoch 1/1... Discriminator Loss: 0.3995... Generator Loss: 2.0202
Epoch 1/1... Discriminator Loss: 0.1943... Generator Loss: 2.9597
Epoch 1/1... Discriminator Loss: 0.3841... Generator Loss: 4.5331
Epoch 1/1... Discriminator Loss: 0.3464... Generator Loss: 2.1409
Epoch 1/1... Discriminator Loss: 0.1417... Generator Loss: 3.8200
Epoch 1/1... Discriminator Loss: 0.1666... Generator Loss: 4.8877
Epoch 1/1... Discriminator Loss: 0.2239... Generator Loss: 4.7634
Epoch 1/1... Discriminator Loss: 0.2157... Generator Loss: 3.0008
Epoch 1/1... Discriminator Loss: 0.2053... Generator Loss: 4.3749
Epoch 1/1... Discriminator Loss: 0.4068... Generator Loss: 2.3674
Epoch 1/1... Discriminator Loss: 0.4923... Generator Loss: 1.5714
Epoch 1/1... Discriminator Loss: 0.3449... Generator Loss: 2.7109
Epoch 1/1... Discriminator Loss: 0.1609... Generator Loss: 3.2727
Epoch 1/1... Discriminator Loss: 0.1176... Generator Loss: 6.0013
Epoch 1/1... Discriminator Loss: 0.1054... Generator Loss: 6.4039
Epoch 1/1... Discriminator Loss: 0.5232... Generator Loss: 1.8717
Epoch 1/1... Discriminator Loss: 0.2884... Generator Loss: 3.2002
Epoch 1/1... Discriminator Loss: 0.4273... Generator Loss: 2.4225
Epoch 1/1... Discriminator Loss: 0.6278... Generator Loss: 1.2919
Epoch 1/1... Discriminator Loss: 0.3061... Generator Loss: 2.6614
Epoch 1/1... Discriminator Loss: 0.2943... Generator Loss: 3.0878
Epoch 1/1... Discriminator Loss: 0.3775... Generator Loss: 6.0581
Epoch 1/1... Discriminator Loss: 0.5511... Generator Loss: 4.4299
Epoch 1/1... Discriminator Loss: 0.4238... Generator Loss: 1.9270
Epoch 1/1... Discriminator Loss: 0.1758... Generator Loss: 3.6260
Epoch 1/1... Discriminator Loss: 0.9083... Generator Loss: 4.7936
Epoch 1/1... Discriminator Loss: 0.2459... Generator Loss: 2.9248
Epoch 1/1... Discriminator Loss: 0.3494... Generator Loss: 2.6377
Epoch 1/1... Discriminator Loss: 0.1716... Generator Loss: 3.0901
Epoch 1/1... Discriminator Loss: 0.7693... Generator Loss: 0.8255
Epoch 1/1... Discriminator Loss: 0.5450... Generator Loss: 1.2483
Epoch 1/1... Discriminator Loss: 0.5180... Generator Loss: 1.6215
Epoch 1/1... Discriminator Loss: 0.1971... Generator Loss: 4.1617
Epoch 1/1... Discriminator Loss: 0.3209... Generator Loss: 7.8069
Epoch 1/1... Discriminator Loss: 0.3983... Generator Loss: 4.4787
Epoch 1/1... Discriminator Loss: 0.1336... Generator Loss: 5.7581
Epoch 1/1... Discriminator Loss: 0.1863... Generator Loss: 3.6586
Epoch 1/1... Discriminator Loss: 0.2538... Generator Loss: 4.2612
Epoch 1/1... Discriminator Loss: 0.5180... Generator Loss: 2.2546
Epoch 1/1... Discriminator Loss: 0.2250... Generator Loss: 3.0274
Epoch 1/1... Discriminator Loss: 0.4448... Generator Loss: 4.7946
Epoch 1/1... Discriminator Loss: 0.1923... Generator Loss: 5.6809
Epoch 1/1... Discriminator Loss: 0.2417... Generator Loss: 2.5690
Epoch 1/1... Discriminator Loss: 0.7123... Generator Loss: 1.0024
Epoch 1/1... Discriminator Loss: 0.2534... Generator Loss: 5.5716
Epoch 1/1... Discriminator Loss: 0.4130... Generator Loss: 1.8820
Epoch 1/1... Discriminator Loss: 0.3669... Generator Loss: 2.7807
Epoch 1/1... Discriminator Loss: 0.4990... Generator Loss: 3.5595
Epoch 1/1... Discriminator Loss: 0.3674... Generator Loss: 2.5508
Epoch 1/1... Discriminator Loss: 0.3911... Generator Loss: 1.6056
Epoch 1/1... Discriminator Loss: 0.1960... Generator Loss: 3.9467
Epoch 1/1... Discriminator Loss: 0.1747... Generator Loss: 2.8642
Epoch 1/1... Discriminator Loss: 0.7031... Generator Loss: 1.1322
Epoch 1/1... Discriminator Loss: 0.2253... Generator Loss: 3.1702
Epoch 1/1... Discriminator Loss: 0.3960... Generator Loss: 3.3106
Epoch 1/1... Discriminator Loss: 0.3655... Generator Loss: 2.5602
Epoch 1/1... Discriminator Loss: 0.0807... Generator Loss: 6.7886
Epoch 1/1... Discriminator Loss: 0.5985... Generator Loss: 1.2836
Epoch 1/1... Discriminator Loss: 0.2265... Generator Loss: 5.1409
Epoch 1/1... Discriminator Loss: 0.7339... Generator Loss: 1.1700
Epoch 1/1... Discriminator Loss: 0.5630... Generator Loss: 5.4350
Epoch 1/1... Discriminator Loss: 0.1213... Generator Loss: 4.7607
Epoch 1/1... Discriminator Loss: 0.2836... Generator Loss: 2.4774
Epoch 1/1... Discriminator Loss: 0.2153... Generator Loss: 5.8753
Epoch 1/1... Discriminator Loss: 1.6845... Generator Loss: 0.3112
Epoch 1/1... Discriminator Loss: 0.3052... Generator Loss: 4.5798
Epoch 1/1... Discriminator Loss: 0.2319... Generator Loss: 4.6052
Epoch 1/1... Discriminator Loss: 0.2517... Generator Loss: 3.8990
Epoch 1/1... Discriminator Loss: 0.5437... Generator Loss: 2.0282
Epoch 1/1... Discriminator Loss: 0.2472... Generator Loss: 5.0506
Epoch 1/1... Discriminator Loss: 0.1935... Generator Loss: 6.1838
Epoch 1/1... Discriminator Loss: 0.3825... Generator Loss: 2.2769
Epoch 1/1... Discriminator Loss: 0.4962... Generator Loss: 1.4496
Epoch 1/1... Discriminator Loss: 0.5804... Generator Loss: 3.9754
Epoch 1/1... Discriminator Loss: 1.7804... Generator Loss: 0.2709
Epoch 1/1... Discriminator Loss: 0.2369... Generator Loss: 7.2469
Epoch 1/1... Discriminator Loss: 0.2138... Generator Loss: 3.4920
Epoch 1/1... Discriminator Loss: 0.5689... Generator Loss: 4.2561
Epoch 1/1... Discriminator Loss: 0.4559... Generator Loss: 6.7272
Epoch 1/1... Discriminator Loss: 0.3974... Generator Loss: 1.7740
Epoch 1/1... Discriminator Loss: 0.1745... Generator Loss: 3.2675
Epoch 1/1... Discriminator Loss: 0.1449... Generator Loss: 5.8849
Epoch 1/1... Discriminator Loss: 0.2997... Generator Loss: 4.7456
Epoch 1/1... Discriminator Loss: 0.2279... Generator Loss: 6.6667
Epoch 1/1... Discriminator Loss: 0.2876... Generator Loss: 4.3679
Epoch 1/1... Discriminator Loss: 0.3117... Generator Loss: 2.6571
Epoch 1/1... Discriminator Loss: 0.2940... Generator Loss: 3.3372
Epoch 1/1... Discriminator Loss: 0.1394... Generator Loss: 6.3569
Epoch 1/1... Discriminator Loss: 0.8618... Generator Loss: 0.8125
Epoch 1/1... Discriminator Loss: 0.3702... Generator Loss: 2.8845
Epoch 1/1... Discriminator Loss: 0.2377... Generator Loss: 4.9438
Epoch 1/1... Discriminator Loss: 0.3765... Generator Loss: 2.0324
Epoch 1/1... Discriminator Loss: 0.1951... Generator Loss: 3.2292
Epoch 1/1... Discriminator Loss: 0.1777... Generator Loss: 4.1562
Epoch 1/1... Discriminator Loss: 1.1773... Generator Loss: 0.5617
Epoch 1/1... Discriminator Loss: 0.5283... Generator Loss: 3.0854
Epoch 1/1... Discriminator Loss: 0.3768... Generator Loss: 2.8878
Epoch 1/1... Discriminator Loss: 0.0781... Generator Loss: 9.2338
Epoch 1/1... Discriminator Loss: 0.1951... Generator Loss: 4.3600
Epoch 1/1... Discriminator Loss: 0.2642... Generator Loss: 3.5643
Epoch 1/1... Discriminator Loss: 0.1383... Generator Loss: 5.2599
Epoch 1/1... Discriminator Loss: 0.1677... Generator Loss: 4.4017
Epoch 1/1... Discriminator Loss: 0.4752... Generator Loss: 2.4846
Epoch 1/1... Discriminator Loss: 1.0018... Generator Loss: 0.7693
Epoch 1/1... Discriminator Loss: 0.5755... Generator Loss: 1.0987
Epoch 1/1... Discriminator Loss: 0.3312... Generator Loss: 3.3351
Epoch 1/1... Discriminator Loss: 0.2458... Generator Loss: 3.2929
Epoch 1/1... Discriminator Loss: 0.2905... Generator Loss: 3.4629
Epoch 1/1... Discriminator Loss: 0.2753... Generator Loss: 4.1514
Epoch 1/1... Discriminator Loss: 0.3732... Generator Loss: 2.7439
Epoch 1/1... Discriminator Loss: 0.9089... Generator Loss: 0.9300
Epoch 1/1... Discriminator Loss: 0.6136... Generator Loss: 5.5293
Epoch 1/1... Discriminator Loss: 0.2177... Generator Loss: 4.0562
Epoch 1/1... Discriminator Loss: 0.2313... Generator Loss: 6.3730
Epoch 1/1... Discriminator Loss: 0.4565... Generator Loss: 3.8995
Epoch 1/1... Discriminator Loss: 0.2025... Generator Loss: 6.7004
Epoch 1/1... Discriminator Loss: 0.3929... Generator Loss: 4.7301
Epoch 1/1... Discriminator Loss: 0.9779... Generator Loss: 0.7714
Epoch 1/1... Discriminator Loss: 0.1592... Generator Loss: 4.2002
Epoch 1/1... Discriminator Loss: 0.1645... Generator Loss: 6.9433
Epoch 1/1... Discriminator Loss: 0.2557... Generator Loss: 2.0633
Epoch 1/1... Discriminator Loss: 0.1971... Generator Loss: 3.6506
Epoch 1/1... Discriminator Loss: 0.2164... Generator Loss: 4.2164
Epoch 1/1... Discriminator Loss: 0.3870... Generator Loss: 2.5929
Epoch 1/1... Discriminator Loss: 0.3334... Generator Loss: 2.0168
Epoch 1/1... Discriminator Loss: 0.0905... Generator Loss: 4.1295
Epoch 1/1... Discriminator Loss: 0.3041... Generator Loss: 4.3766
Epoch 1/1... Discriminator Loss: 0.1506... Generator Loss: 4.2257
Epoch 1/1... Discriminator Loss: 0.1267... Generator Loss: 4.2887
Epoch 1/1... Discriminator Loss: 0.6295... Generator Loss: 1.6828
Epoch 1/1... Discriminator Loss: 0.3153... Generator Loss: 2.7385
Epoch 1/1... Discriminator Loss: 0.1563... Generator Loss: 3.8290
Epoch 1/1... Discriminator Loss: 0.5105... Generator Loss: 1.7000
Epoch 1/1... Discriminator Loss: 0.9537... Generator Loss: 0.6644
Epoch 1/1... Discriminator Loss: 0.4090... Generator Loss: 2.4457
Epoch 1/1... Discriminator Loss: 0.3391... Generator Loss: 3.5387
Epoch 1/1... Discriminator Loss: 0.2902... Generator Loss: 2.6054
Epoch 1/1... Discriminator Loss: 0.2352... Generator Loss: 10.6711
Epoch 1/1... Discriminator Loss: 0.6517... Generator Loss: 2.8893
Epoch 1/1... Discriminator Loss: 0.8756... Generator Loss: 1.1632
Epoch 1/1... Discriminator Loss: 0.4626... Generator Loss: 5.3346
Epoch 1/1... Discriminator Loss: 0.3742... Generator Loss: 8.4303
Epoch 1/1... Discriminator Loss: 0.2417... Generator Loss: 5.6907
Epoch 1/1... Discriminator Loss: 0.3320... Generator Loss: 1.7544
Epoch 1/1... Discriminator Loss: 0.5017... Generator Loss: 4.5313
Epoch 1/1... Discriminator Loss: 0.1329... Generator Loss: 6.3196
Epoch 1/1... Discriminator Loss: 0.2871... Generator Loss: 6.7625
Epoch 1/1... Discriminator Loss: 0.2620... Generator Loss: 3.8897
Epoch 1/1... Discriminator Loss: 0.6897... Generator Loss: 4.7622
Epoch 1/1... Discriminator Loss: 0.8281... Generator Loss: 0.8905
Epoch 1/1... Discriminator Loss: 1.0141... Generator Loss: 0.7086
Epoch 1/1... Discriminator Loss: 0.2700... Generator Loss: 6.2609
Epoch 1/1... Discriminator Loss: 0.2709... Generator Loss: 4.9390
Epoch 1/1... Discriminator Loss: 0.2850... Generator Loss: 5.4095
Epoch 1/1... Discriminator Loss: 0.1776... Generator Loss: 4.8940
Epoch 1/1... Discriminator Loss: 0.4133... Generator Loss: 1.9383
Epoch 1/1... Discriminator Loss: 0.2292... Generator Loss: 3.6785
Epoch 1/1... Discriminator Loss: 0.6466... Generator Loss: 1.6211
Epoch 1/1... Discriminator Loss: 0.3872... Generator Loss: 2.1243
Epoch 1/1... Discriminator Loss: 0.3427... Generator Loss: 4.9704
Epoch 1/1... Discriminator Loss: 0.2794... Generator Loss: 2.6033
Epoch 1/1... Discriminator Loss: 0.3012... Generator Loss: 6.5137
Epoch 1/1... Discriminator Loss: 0.3743... Generator Loss: 5.9127
Epoch 1/1... Discriminator Loss: 0.2636... Generator Loss: 5.4722
Epoch 1/1... Discriminator Loss: 0.2670... Generator Loss: 4.4464
Epoch 1/1... Discriminator Loss: 0.1813... Generator Loss: 4.2330
Epoch 1/1... Discriminator Loss: 0.1744... Generator Loss: 4.2960
Epoch 1/1... Discriminator Loss: 0.5242... Generator Loss: 1.8281
Epoch 1/1... Discriminator Loss: 0.0657... Generator Loss: 8.8159
Epoch 1/1... Discriminator Loss: 0.1631... Generator Loss: 5.9487
Epoch 1/1... Discriminator Loss: 0.3923... Generator Loss: 6.2415
Epoch 1/1... Discriminator Loss: 1.1863... Generator Loss: 0.5219
Epoch 1/1... Discriminator Loss: 0.8856... Generator Loss: 0.8291
Epoch 1/1... Discriminator Loss: 0.6129... Generator Loss: 1.3842
Epoch 1/1... Discriminator Loss: 0.2593... Generator Loss: 3.8244
Epoch 1/1... Discriminator Loss: 0.4198... Generator Loss: 2.7292
Epoch 1/1... Discriminator Loss: 0.5556... Generator Loss: 2.2686
Epoch 1/1... Discriminator Loss: 0.3258... Generator Loss: 2.3811
Epoch 1/1... Discriminator Loss: 0.3444... Generator Loss: 4.6259
Epoch 1/1... Discriminator Loss: 1.2632... Generator Loss: 3.1210
Epoch 1/1... Discriminator Loss: 0.2487... Generator Loss: 2.9645
Epoch 1/1... Discriminator Loss: 0.3319... Generator Loss: 2.6075
Epoch 1/1... Discriminator Loss: 0.3097... Generator Loss: 3.2662
Epoch 1/1... Discriminator Loss: 0.2485... Generator Loss: 4.9186
Epoch 1/1... Discriminator Loss: 0.4915... Generator Loss: 3.1480
Epoch 1/1... Discriminator Loss: 0.3016... Generator Loss: 5.0316
Epoch 1/1... Discriminator Loss: 1.0435... Generator Loss: 0.8162
Epoch 1/1... Discriminator Loss: 0.1348... Generator Loss: 12.0987
Epoch 1/1... Discriminator Loss: 0.3292... Generator Loss: 2.4059
Epoch 1/1... Discriminator Loss: 0.5017... Generator Loss: 3.0269
Epoch 1/1... Discriminator Loss: 0.9147... Generator Loss: 0.8886
Epoch 1/1... Discriminator Loss: 0.3230... Generator Loss: 2.2960
Epoch 1/1... Discriminator Loss: 0.2534... Generator Loss: 3.8076
Epoch 1/1... Discriminator Loss: 0.2935... Generator Loss: 3.4483
Epoch 1/1... Discriminator Loss: 0.6878... Generator Loss: 1.4492
Epoch 1/1... Discriminator Loss: 0.4080... Generator Loss: 2.7465
Epoch 1/1... Discriminator Loss: 0.1920... Generator Loss: 3.1782
Epoch 1/1... Discriminator Loss: 0.2691... Generator Loss: 2.4244
Epoch 1/1... Discriminator Loss: 0.7261... Generator Loss: 1.1015
Epoch 1/1... Discriminator Loss: 0.4984... Generator Loss: 1.6852
Epoch 1/1... Discriminator Loss: 1.3170... Generator Loss: 0.5615
Epoch 1/1... Discriminator Loss: 0.0558... Generator Loss: 5.1140
Epoch 1/1... Discriminator Loss: 0.2518... Generator Loss: 3.5123
Epoch 1/1... Discriminator Loss: 0.5900... Generator Loss: 2.7330
Epoch 1/1... Discriminator Loss: 0.6002... Generator Loss: 6.2824
Epoch 1/1... Discriminator Loss: 0.1579... Generator Loss: 6.1249
Epoch 1/1... Discriminator Loss: 0.3091... Generator Loss: 5.2946
Epoch 1/1... Discriminator Loss: 0.1382... Generator Loss: 4.6381
Epoch 1/1... Discriminator Loss: 0.2928... Generator Loss: 2.6562
Epoch 1/1... Discriminator Loss: 0.4518... Generator Loss: 1.7447
Epoch 1/1... Discriminator Loss: 0.2697... Generator Loss: 2.3699
Epoch 1/1... Discriminator Loss: 0.2021... Generator Loss: 3.8431
Epoch 1/1... Discriminator Loss: 0.3283... Generator Loss: 2.4149
Epoch 1/1... Discriminator Loss: 0.8707... Generator Loss: 4.8969
Epoch 1/1... Discriminator Loss: 0.6429... Generator Loss: 5.1374
Epoch 1/1... Discriminator Loss: 0.4420... Generator Loss: 2.1677
Epoch 1/1... Discriminator Loss: 0.4033... Generator Loss: 1.7800
Epoch 1/1... Discriminator Loss: 0.1405... Generator Loss: 6.2410
Epoch 1/1... Discriminator Loss: 0.8838... Generator Loss: 5.5537
Epoch 1/1... Discriminator Loss: 0.4646... Generator Loss: 2.2618
Epoch 1/1... Discriminator Loss: 0.3767... Generator Loss: 2.3452
Epoch 1/1... Discriminator Loss: 0.2469... Generator Loss: 4.8463
Epoch 1/1... Discriminator Loss: 0.4612... Generator Loss: 2.5530
Epoch 1/1... Discriminator Loss: 1.2215... Generator Loss: 0.4971
Epoch 1/1... Discriminator Loss: 0.3252... Generator Loss: 2.2645
Epoch 1/1... Discriminator Loss: 0.2742... Generator Loss: 3.6027
Epoch 1/1... Discriminator Loss: 0.3342... Generator Loss: 3.4635
Epoch 1/1... Discriminator Loss: 0.3201... Generator Loss: 3.7635
Epoch 1/1... Discriminator Loss: 0.2719... Generator Loss: 3.4358
Epoch 1/1... Discriminator Loss: 0.3379... Generator Loss: 10.0118
Epoch 1/1... Discriminator Loss: 0.3399... Generator Loss: 2.9315
Epoch 1/1... Discriminator Loss: 0.1890... Generator Loss: 3.7283
Epoch 1/1... Discriminator Loss: 0.2004... Generator Loss: 4.4800
Epoch 1/1... Discriminator Loss: 0.6677... Generator Loss: 2.1849
Epoch 1/1... Discriminator Loss: 0.2905... Generator Loss: 2.6403
Epoch 1/1... Discriminator Loss: 0.5925... Generator Loss: 1.7826
Epoch 1/1... Discriminator Loss: 0.7254... Generator Loss: 1.2723
Epoch 1/1... Discriminator Loss: 0.4528... Generator Loss: 5.1132
Epoch 1/1... Discriminator Loss: 0.5031... Generator Loss: 1.4676
Epoch 1/1... Discriminator Loss: 0.8281... Generator Loss: 0.8238
Epoch 1/1... Discriminator Loss: 0.2714... Generator Loss: 3.4730
Epoch 1/1... Discriminator Loss: 0.2023... Generator Loss: 4.5706
Epoch 1/1... Discriminator Loss: 0.2190... Generator Loss: 4.1959
Epoch 1/1... Discriminator Loss: 0.2705... Generator Loss: 2.4106
Epoch 1/1... Discriminator Loss: 0.5983... Generator Loss: 1.7791
Epoch 1/1... Discriminator Loss: 0.1823... Generator Loss: 7.5738
Epoch 1/1... Discriminator Loss: 0.2674... Generator Loss: 3.7368
Epoch 1/1... Discriminator Loss: 0.6681... Generator Loss: 6.6372
Epoch 1/1... Discriminator Loss: 0.8041... Generator Loss: 1.0436
Epoch 1/1... Discriminator Loss: 0.5110... Generator Loss: 1.8665
Epoch 1/1... Discriminator Loss: 0.5283... Generator Loss: 1.8405
Epoch 1/1... Discriminator Loss: 0.3353... Generator Loss: 2.9205
Epoch 1/1... Discriminator Loss: 0.8976... Generator Loss: 0.8828
Epoch 1/1... Discriminator Loss: 0.0862... Generator Loss: 7.5993
Epoch 1/1... Discriminator Loss: 0.3240... Generator Loss: 2.6265
Epoch 1/1... Discriminator Loss: 0.9883... Generator Loss: 0.7966
Epoch 1/1... Discriminator Loss: 0.6320... Generator Loss: 1.1508
Epoch 1/1... Discriminator Loss: 0.5222... Generator Loss: 6.5976
Epoch 1/1... Discriminator Loss: 0.8553... Generator Loss: 2.8860
Epoch 1/1... Discriminator Loss: 0.8454... Generator Loss: 1.3361
Epoch 1/1... Discriminator Loss: 0.7010... Generator Loss: 2.1717
Epoch 1/1... Discriminator Loss: 0.2948... Generator Loss: 3.1302
Epoch 1/1... Discriminator Loss: 0.6929... Generator Loss: 1.5772
Epoch 1/1... Discriminator Loss: 1.0115... Generator Loss: 0.7407
Epoch 1/1... Discriminator Loss: 0.1287... Generator Loss: 4.4034
Epoch 1/1... Discriminator Loss: 0.2362... Generator Loss: 3.2903
Epoch 1/1... Discriminator Loss: 1.1441... Generator Loss: 4.9444
Epoch 1/1... Discriminator Loss: 0.3614... Generator Loss: 2.9473
Epoch 1/1... Discriminator Loss: 0.6066... Generator Loss: 2.0744
Epoch 1/1... Discriminator Loss: 0.3835... Generator Loss: 4.0038
Epoch 1/1... Discriminator Loss: 0.7201... Generator Loss: 1.8328
Epoch 1/1... Discriminator Loss: 1.0985... Generator Loss: 0.6614
Epoch 1/1... Discriminator Loss: 0.4315... Generator Loss: 4.0405
Epoch 1/1... Discriminator Loss: 0.7260... Generator Loss: 1.3967
Epoch 1/1... Discriminator Loss: 0.4081... Generator Loss: 1.5656
Epoch 1/1... Discriminator Loss: 0.1538... Generator Loss: 4.7660
Epoch 1/1... Discriminator Loss: 0.8545... Generator Loss: 0.9872
Epoch 1/1... Discriminator Loss: 0.3654... Generator Loss: 2.2810
Epoch 1/1... Discriminator Loss: 0.4868... Generator Loss: 2.0882
Epoch 1/1... Discriminator Loss: 1.0500... Generator Loss: 0.6712
Epoch 1/1... Discriminator Loss: 0.6298... Generator Loss: 1.8396
Epoch 1/1... Discriminator Loss: 0.6930... Generator Loss: 1.5082
Epoch 1/1... Discriminator Loss: 0.7356... Generator Loss: 1.1734
Epoch 1/1... Discriminator Loss: 0.6958... Generator Loss: 1.1958
Epoch 1/1... Discriminator Loss: 0.5153... Generator Loss: 4.0989
Epoch 1/1... Discriminator Loss: 0.6331... Generator Loss: 1.5554
Epoch 1/1... Discriminator Loss: 0.4176... Generator Loss: 3.0935
Epoch 1/1... Discriminator Loss: 0.3371... Generator Loss: 2.2485
Epoch 1/1... Discriminator Loss: 0.7108... Generator Loss: 1.4146
Epoch 1/1... Discriminator Loss: 0.6983... Generator Loss: 1.7503
Epoch 1/1... Discriminator Loss: 0.2600... Generator Loss: 2.8422
Epoch 1/1... Discriminator Loss: 0.5202... Generator Loss: 1.4887
Epoch 1/1... Discriminator Loss: 0.7673... Generator Loss: 2.2876
Epoch 1/1... Discriminator Loss: 0.3131... Generator Loss: 4.3526
Epoch 1/1... Discriminator Loss: 0.6597... Generator Loss: 1.3986
Epoch 1/1... Discriminator Loss: 0.3895... Generator Loss: 2.2507
Epoch 1/1... Discriminator Loss: 0.1872... Generator Loss: 5.7605
Epoch 1/1... Discriminator Loss: 0.6301... Generator Loss: 1.7690
Epoch 1/1... Discriminator Loss: 0.3043... Generator Loss: 4.9742
Epoch 1/1... Discriminator Loss: 0.2839... Generator Loss: 3.2834
Epoch 1/1... Discriminator Loss: 0.2166... Generator Loss: 5.2068
Epoch 1/1... Discriminator Loss: 0.1720... Generator Loss: 6.5558
Epoch 1/1... Discriminator Loss: 0.5114... Generator Loss: 1.6847
Epoch 1/1... Discriminator Loss: 1.1027... Generator Loss: 5.9962
Epoch 1/1... Discriminator Loss: 0.5385... Generator Loss: 2.6592
Epoch 1/1... Discriminator Loss: 1.2533... Generator Loss: 0.5629
Epoch 1/1... Discriminator Loss: 0.6220... Generator Loss: 3.9143
Epoch 1/1... Discriminator Loss: 0.6552... Generator Loss: 1.4952
Epoch 1/1... Discriminator Loss: 0.6669... Generator Loss: 1.2250
Epoch 1/1... Discriminator Loss: 0.5262... Generator Loss: 1.9556
Epoch 1/1... Discriminator Loss: 0.2849... Generator Loss: 2.8891
Epoch 1/1... Discriminator Loss: 0.3190... Generator Loss: 2.8699
Epoch 1/1... Discriminator Loss: 0.2994... Generator Loss: 4.5136
Epoch 1/1... Discriminator Loss: 0.4315... Generator Loss: 3.2316
Epoch 1/1... Discriminator Loss: 0.7018... Generator Loss: 1.7525
Epoch 1/1... Discriminator Loss: 0.9916... Generator Loss: 0.8769
Epoch 1/1... Discriminator Loss: 0.4339... Generator Loss: 2.5280
Epoch 1/1... Discriminator Loss: 0.2995... Generator Loss: 2.9475
Epoch 1/1... Discriminator Loss: 1.1452... Generator Loss: 0.5544
Epoch 1/1... Discriminator Loss: 0.4124... Generator Loss: 5.0757
Epoch 1/1... Discriminator Loss: 0.5437... Generator Loss: 2.0498
Epoch 1/1... Discriminator Loss: 0.5794... Generator Loss: 1.7285
Epoch 1/1... Discriminator Loss: 0.4487... Generator Loss: 2.9245
Epoch 1/1... Discriminator Loss: 0.1786... Generator Loss: 4.2345
Epoch 1/1... Discriminator Loss: 0.4636... Generator Loss: 2.3835
Epoch 1/1... Discriminator Loss: 0.5603... Generator Loss: 1.8080
Epoch 1/1... Discriminator Loss: 0.3900... Generator Loss: 2.7746
Epoch 1/1... Discriminator Loss: 0.3036... Generator Loss: 3.8074
Epoch 1/1... Discriminator Loss: 0.5352... Generator Loss: 1.6633
Epoch 1/1... Discriminator Loss: 0.3997... Generator Loss: 1.9334
Epoch 1/1... Discriminator Loss: 0.6416... Generator Loss: 1.9670
Epoch 1/1... Discriminator Loss: 0.6146... Generator Loss: 1.7610
Epoch 1/1... Discriminator Loss: 1.3041... Generator Loss: 0.4360
Epoch 1/1... Discriminator Loss: 0.6895... Generator Loss: 2.3811
Epoch 1/1... Discriminator Loss: 0.4593... Generator Loss: 3.8081
Epoch 1/1... Discriminator Loss: 0.3665... Generator Loss: 2.3866
Epoch 1/1... Discriminator Loss: 0.7914... Generator Loss: 1.3046
Epoch 1/1... Discriminator Loss: 0.6299... Generator Loss: 1.9526
Epoch 1/1... Discriminator Loss: 0.3192... Generator Loss: 4.8429
Epoch 1/1... Discriminator Loss: 0.9319... Generator Loss: 1.1025
Epoch 1/1... Discriminator Loss: 0.7125... Generator Loss: 1.0596
Epoch 1/1... Discriminator Loss: 0.8827... Generator Loss: 2.6544
Epoch 1/1... Discriminator Loss: 0.4707... Generator Loss: 2.5577
Epoch 1/1... Discriminator Loss: 0.4910... Generator Loss: 4.6393
Epoch 1/1... Discriminator Loss: 0.5273... Generator Loss: 1.3869
Epoch 1/1... Discriminator Loss: 0.5081... Generator Loss: 3.0301
Epoch 1/1... Discriminator Loss: 0.2933... Generator Loss: 3.4432
Epoch 1/1... Discriminator Loss: 1.1943... Generator Loss: 0.6465
Epoch 1/1... Discriminator Loss: 0.5792... Generator Loss: 2.0245
Epoch 1/1... Discriminator Loss: 0.6001... Generator Loss: 1.3950
Epoch 1/1... Discriminator Loss: 0.3839... Generator Loss: 3.1041
Epoch 1/1... Discriminator Loss: 0.8675... Generator Loss: 1.1769
Epoch 1/1... Discriminator Loss: 0.3702... Generator Loss: 2.5940
Epoch 1/1... Discriminator Loss: 0.6496... Generator Loss: 1.6269
Epoch 1/1... Discriminator Loss: 0.7936... Generator Loss: 1.2216
Epoch 1/1... Discriminator Loss: 0.3706... Generator Loss: 5.4970
Epoch 1/1... Discriminator Loss: 0.5711... Generator Loss: 1.6422
Epoch 1/1... Discriminator Loss: 0.4760... Generator Loss: 2.6754
Epoch 1/1... Discriminator Loss: 0.7577... Generator Loss: 1.4628
Epoch 1/1... Discriminator Loss: 0.3264... Generator Loss: 3.6407
Epoch 1/1... Discriminator Loss: 0.2658... Generator Loss: 8.9460
Epoch 1/1... Discriminator Loss: 0.2538... Generator Loss: 3.5082
Epoch 1/1... Discriminator Loss: 0.6926... Generator Loss: 1.6591
Epoch 1/1... Discriminator Loss: 0.2663... Generator Loss: 4.8628
Epoch 1/1... Discriminator Loss: 0.1594... Generator Loss: 5.2824
Epoch 1/1... Discriminator Loss: 0.5411... Generator Loss: 1.8399
Epoch 1/1... Discriminator Loss: 0.4026... Generator Loss: 2.4741
Epoch 1/1... Discriminator Loss: 0.4418... Generator Loss: 2.2920
Epoch 1/1... Discriminator Loss: 0.4885... Generator Loss: 2.5219
Epoch 1/1... Discriminator Loss: 0.4918... Generator Loss: 1.9609
Epoch 1/1... Discriminator Loss: 0.5025... Generator Loss: 2.0962
Epoch 1/1... Discriminator Loss: 0.6486... Generator Loss: 1.7022
Epoch 1/1... Discriminator Loss: 0.8823... Generator Loss: 1.2486
Epoch 1/1... Discriminator Loss: 0.3714... Generator Loss: 3.1006
Epoch 1/1... Discriminator Loss: 0.3071... Generator Loss: 2.7793
Epoch 1/1... Discriminator Loss: 0.6431... Generator Loss: 1.2880
Epoch 1/1... Discriminator Loss: 0.7533... Generator Loss: 1.3402
Epoch 1/1... Discriminator Loss: 0.3870... Generator Loss: 2.0250
Epoch 1/1... Discriminator Loss: 1.1368... Generator Loss: 0.5910
Epoch 1/1... Discriminator Loss: 0.4880... Generator Loss: 2.4827
Epoch 1/1... Discriminator Loss: 0.2897... Generator Loss: 5.4632
Epoch 1/1... Discriminator Loss: 1.0443... Generator Loss: 0.8302
Epoch 1/1... Discriminator Loss: 0.7020... Generator Loss: 1.2720
Epoch 1/1... Discriminator Loss: 0.4204... Generator Loss: 1.8682
Epoch 1/1... Discriminator Loss: 0.9204... Generator Loss: 1.1821
Epoch 1/1... Discriminator Loss: 0.2107... Generator Loss: 5.7310
Epoch 1/1... Discriminator Loss: 0.3013... Generator Loss: 3.2786
Epoch 1/1... Discriminator Loss: 0.9824... Generator Loss: 0.9048
Epoch 1/1... Discriminator Loss: 0.5761... Generator Loss: 2.2778
Epoch 1/1... Discriminator Loss: 0.4753... Generator Loss: 4.6371
Epoch 1/1... Discriminator Loss: 0.2525... Generator Loss: 4.1378
Epoch 1/1... Discriminator Loss: 0.7587... Generator Loss: 1.0264
Epoch 1/1... Discriminator Loss: 0.7574... Generator Loss: 1.1180
Epoch 1/1... Discriminator Loss: 0.8794... Generator Loss: 1.1066
Epoch 1/1... Discriminator Loss: 0.6174... Generator Loss: 1.5026
Epoch 1/1... Discriminator Loss: 0.3907... Generator Loss: 2.6546
Epoch 1/1... Discriminator Loss: 1.1171... Generator Loss: 0.7072
Epoch 1/1... Discriminator Loss: 0.2541... Generator Loss: 4.1561
Epoch 1/1... Discriminator Loss: 0.6902... Generator Loss: 1.3816
Epoch 1/1... Discriminator Loss: 0.3639... Generator Loss: 2.6135
Epoch 1/1... Discriminator Loss: 0.2293... Generator Loss: 6.3747
Epoch 1/1... Discriminator Loss: 1.1005... Generator Loss: 0.6302
Epoch 1/1... Discriminator Loss: 0.4317... Generator Loss: 1.9281
Epoch 1/1... Discriminator Loss: 0.3393... Generator Loss: 2.9981
Epoch 1/1... Discriminator Loss: 0.6494... Generator Loss: 2.3932
Epoch 1/1... Discriminator Loss: 0.2176... Generator Loss: 5.7510
Epoch 1/1... Discriminator Loss: 0.5414... Generator Loss: 2.0606
Epoch 1/1... Discriminator Loss: 1.1030... Generator Loss: 0.9916
Epoch 1/1... Discriminator Loss: 0.4354... Generator Loss: 2.3135
Epoch 1/1... Discriminator Loss: 0.4918... Generator Loss: 3.6694
Epoch 1/1... Discriminator Loss: 0.2440... Generator Loss: 4.7495
Epoch 1/1... Discriminator Loss: 1.6049... Generator Loss: 0.3286
Epoch 1/1... Discriminator Loss: 1.3115... Generator Loss: 0.5487
Epoch 1/1... Discriminator Loss: 0.6598... Generator Loss: 1.9749
Epoch 1/1... Discriminator Loss: 0.3057... Generator Loss: 2.7371
Epoch 1/1... Discriminator Loss: 0.8058... Generator Loss: 1.3532
Epoch 1/1... Discriminator Loss: 0.3720... Generator Loss: 2.5627
Epoch 1/1... Discriminator Loss: 0.2842... Generator Loss: 4.7278
Epoch 1/1... Discriminator Loss: 0.4781... Generator Loss: 1.9268
Epoch 1/1... Discriminator Loss: 0.6435... Generator Loss: 4.9391
Epoch 1/1... Discriminator Loss: 0.2694... Generator Loss: 4.8816
Epoch 1/1... Discriminator Loss: 0.6262... Generator Loss: 2.5019
Epoch 1/1... Discriminator Loss: 0.5077... Generator Loss: 3.0156
Epoch 1/1... Discriminator Loss: 0.4074... Generator Loss: 2.5742
Epoch 1/1... Discriminator Loss: 0.5565... Generator Loss: 1.8890
Epoch 1/1... Discriminator Loss: 0.3031... Generator Loss: 4.6243
Epoch 1/1... Discriminator Loss: 0.8984... Generator Loss: 1.0724
Epoch 1/1... Discriminator Loss: 0.9277... Generator Loss: 0.8340
Epoch 1/1... Discriminator Loss: 0.8930... Generator Loss: 0.9983
Epoch 1/1... Discriminator Loss: 0.2418... Generator Loss: 3.4967
Epoch 1/1... Discriminator Loss: 0.7325... Generator Loss: 1.3884
Epoch 1/1... Discriminator Loss: 0.7290... Generator Loss: 1.4126
Epoch 1/1... Discriminator Loss: 0.3045... Generator Loss: 3.6273
Epoch 1/1... Discriminator Loss: 0.8572... Generator Loss: 0.8592
Epoch 1/1... Discriminator Loss: 0.6236... Generator Loss: 1.6317
Epoch 1/1... Discriminator Loss: 0.5610... Generator Loss: 2.0712
Epoch 1/1... Discriminator Loss: 0.7388... Generator Loss: 1.8738
Epoch 1/1... Discriminator Loss: 0.6148... Generator Loss: 1.7171
Epoch 1/1... Discriminator Loss: 0.7776... Generator Loss: 2.5309
Epoch 1/1... Discriminator Loss: 0.5879... Generator Loss: 1.8908
Epoch 1/1... Discriminator Loss: 0.8591... Generator Loss: 1.0333
Epoch 1/1... Discriminator Loss: 0.3244... Generator Loss: 4.1813
Epoch 1/1... Discriminator Loss: 0.3974... Generator Loss: 2.7459
Epoch 1/1... Discriminator Loss: 0.7171... Generator Loss: 2.1348
Epoch 1/1... Discriminator Loss: 0.6310... Generator Loss: 1.8130
Epoch 1/1... Discriminator Loss: 0.2226... Generator Loss: 5.1206
Epoch 1/1... Discriminator Loss: 0.1810... Generator Loss: 5.6308
Epoch 1/1... Discriminator Loss: 0.8756... Generator Loss: 2.5872
Epoch 1/1... Discriminator Loss: 0.5952... Generator Loss: 2.6041
Epoch 1/1... Discriminator Loss: 0.4115... Generator Loss: 2.2944
Epoch 1/1... Discriminator Loss: 0.6986... Generator Loss: 3.0096
Epoch 1/1... Discriminator Loss: 0.6218... Generator Loss: 1.8804
Epoch 1/1... Discriminator Loss: 0.3259... Generator Loss: 2.9554
Epoch 1/1... Discriminator Loss: 0.2585... Generator Loss: 5.0626
Epoch 1/1... Discriminator Loss: 0.6698... Generator Loss: 1.3537
Epoch 1/1... Discriminator Loss: 0.5573... Generator Loss: 1.9863
Epoch 1/1... Discriminator Loss: 0.2485... Generator Loss: 4.5382
Epoch 1/1... Discriminator Loss: 0.3771... Generator Loss: 2.5169
Epoch 1/1... Discriminator Loss: 0.5093... Generator Loss: 2.6643

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.